class_docstr: This is the base class for all optimization algorithms. These are the core algorithms which produce
  recommendations on what to try next.
code: def recommendNextParameters(
      self,
      hyperparameterSpace,
      results,
      currentTrials,
      lockedValues=None,
  ):
      pass
  
file_path: hypermax/hypermax/algorithms/optimization_algorithm_base.py
imports: import hyperopt
  import datetime
  from hypermax.hyperparameter import Hyperparameter
  import json
  import copy
  from pprint import pprint
label_desc: Use image node_id 1 for calling the OptimizationAlgorithmBase obj's underlying member method code with example usage: obj.recommendNextParameters(hyperparameterSpace, results, currentTrials, lockedValues) without return types